Daniel Seichter

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研究焦点

主要成就

代表论文

1. 1
   Deep orientation: Fast and Robust Upper Body orientation Estimation for Mobile Robotic Applications

   31 次引用 · 2019
2. 2
   Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

   18 次引用 · 2021
3. 3
   Efficient Multi-Task Scene Analysis with RGB-D Transformers

   17 次引用 · 2023
4. 4
   PanopticNDT: Efficient and Robust Panoptic Mapping

   13 次引用 · 2023
5. 5
   Real-time Person Orientation Estimation using Colored Pointclouds

   11 次引用 · 2019
6. 6
   Multi-Task Deep Learning for Depth-based Person Perception in Mobile Robotics

   11 次引用 · 2020
7. 7
   Cross-Talk Compensation in Low-Cost Resistive Pressure Matrix Sensors

   10 次引用 · 2019
8. 8
   Real-time person orientation estimation and tracking using colored point clouds

   5 次引用 · 2020
9. 9
   Detection of Novel Objects without Fine-Tuning in Assembly Scenarios by Class-Agnostic Object Detection and Object Re-Identification

   3 次引用 · 2024
10. 10
    Speeding up Deep Neural Networks on the Jetson TX1

    3 次引用 · 2018

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